Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)
esPlausible
expectedPromptIndex
computeDuration
computeTimeBetween
computeTimeLag
convertChars
dateTimeFormats
dateTimeFormats2
esAssign
esComplete
esFinal
esIdentical
esItems
esList
esMerge
esmprep: A package for preparing raw data in research that uses the Ex...
findChars
genDateTime
genKey
intolerable
makeShift
missingEndDateTime
printRmInvalid
printSuggestedShift
randomMultSelection
refPlausible
relevantESVN
relevantREFVN
rmInvalid
setES
setREF
splitDateTime
suggestShift
Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.